Program error - Githubissues

I downloaded the Simpsons dataset, and then implemented the Deep Computer Vision: The Simpsons codes in Jupyter. But when training the model, I'm getting an error.

Error description:

Epoch 1/10 345/345 [==============================] - ETA: 0s - loss: 0.3237 - accuracy: 0.1610

ValueError Traceback (most recent call last) ~\AppData\Local\Temp/ipykernel_2992/1828796816.py in 3 ''' 4 ----> 5 training=model.fit(train_gen, 6 steps_per_epoch=len(x_train)//BATCH_SIZE, 7 epochs=EPOCHS,

c:\users\niladri\appdata\local\programs\python\python39\lib\site-packages\tensorflow\python\keras\engine\training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_batch_size, validation_freq, max_queue_size, workers, use_multiprocessing) 1199 # Create data_handler for evaluation and cache it. 1200 if getattr(self, '_eval_data_handler', None) is None: -> 1201 self._eval_data_handler = data_adapter.get_data_handler( 1202 x=val_x, 1203 y=val_y,

c:\users\niladri\appdata\local\programs\python\python39\lib\site-packages\tensorflow\python\keras\engine\data_adapter.py in get_data_handler(*args, kwargs) 1362 if getattr(kwargs["model"], "_cluster_coordinator", None): 1363 return _ClusterCoordinatorDataHandler(*args, *kwargs) -> 1364 return DataHandler(args, kwargs) 1365 1366

c:\users\niladri\appdata\local\programs\python\python39\lib\site-packages\tensorflow\python\keras\engine\data_adapter.py in init(self, x, y, sample_weight, batch_size, steps_per_epoch, initial_epoch, epochs, shuffle, class_weight, max_queue_size, workers, use_multiprocessing, model, steps_per_execution, distribute) 1152 adapter_cls = select_data_adapter(x, y) 1153 self._verify_data_adapter_compatibility(adapter_cls) -> 1154 self._adapter = adapter_cls( 1155 x, 1156 y,

c:\users\niladri\appdata\local\programs\python\python39\lib\site-packages\tensorflow\python\keras\engine\data_adapter.py in init(self, x, y, sample_weights, sample_weight_modes, batch_size, epochs, steps, shuffle, **kwargs) 256 257 num_samples = set(int(i.shape[0]) for i in nest.flatten(inputs)).pop() --> 258 _check_data_cardinality(inputs) 259 260 # If batch_size is not passed but steps is, calculate from the input data.

c:\users\niladri\appdata\local\programs\python\python39\lib\site-packages\tensorflow\python\keras\engine\data_adapter.py in _check_data_cardinality(data) 1628 label, ", ".join(str(i.shape[0]) for i in nest.flatten(single_data))) 1629 msg += "Make sure all arrays contain the same number of samples." -> 1630 raise ValueError(msg) 1631 1632

ValueError: Data cardinality is ambiguous: x sizes: 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 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10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10 Make sure all arrays contain the same number of samples.

I have copied and pasted the entire errors screen from Jupyter. I would be glad if someone explained me where the error occurs.

Thank you

jasmcaus / opencv-course

Program error #20

Error description:

Epoch 1/10 345/345 [==============================] - ETA: 0s - loss: 0.3237 - accuracy: 0.1610